JPH04504492A - ニューラルネットワークの自己組織化による画像圧縮方法 - Google Patents

ニューラルネットワークの自己組織化による画像圧縮方法

Info

Publication number
JPH04504492A
JPH04504492A JP3501293A JP50129391A JPH04504492A JP H04504492 A JPH04504492 A JP H04504492A JP 3501293 A JP3501293 A JP 3501293A JP 50129391 A JP50129391 A JP 50129391A JP H04504492 A JPH04504492 A JP H04504492A
Authority
JP
Japan
Prior art keywords
neuron
neurons
input
image
neural network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP3501293A
Other languages
English (en)
Japanese (ja)
Inventor
ビュレル，ジル
ポティエ，イザベル
Original Assignee
トムソン―セーエスエフ
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by トムソン―セーエスエフ filed Critical トムソン―セーエスエフ
Publication of JPH04504492A publication Critical patent/JPH04504492A/ja
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • G06F18/2137—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on criteria of topology preservation, e.g. multidimensional scaling or self-organising maps
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Signal Processing (AREA)
  • Molecular Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Color Television Systems (AREA)
  • Compression Of Band Width Or Redundancy In Fax (AREA)
  • Peptides Or Proteins (AREA)
JP3501293A 1989-12-06 1990-12-06 ニューラルネットワークの自己組織化による画像圧縮方法 Pending JPH04504492A (ja)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR89/16111 1989-12-06
FR898916111A FR2655450B1 (fr) 1989-12-06 1989-12-06 Procede de compression d'images par auto-organisation d'un reseau neuronal.

Publications (1)

Publication Number Publication Date
JPH04504492A true JPH04504492A (ja) 1992-08-06

Family

ID=9388202

Family Applications (1)

Application Number Title Priority Date Filing Date
JP3501293A Pending JPH04504492A (ja) 1989-12-06 1990-12-06 ニューラルネットワークの自己組織化による画像圧縮方法

Country Status (9)

Country Link
US (1) US5369503A (de)
EP (1) EP0456804B1 (de)
JP (1) JPH04504492A (de)
KR (1) KR920701914A (de)
AT (1) ATE164017T1 (de)
DE (1) DE69032127T2 (de)
ES (1) ES2116286T3 (de)
FR (1) FR2655450B1 (de)
WO (1) WO1991008546A1 (de)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11507846B2 (en) * 2018-03-26 2022-11-22 Nvidia Corporation Representing a neural network utilizing paths within the network to improve a performance of the neural network

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07170521A (ja) * 1993-12-15 1995-07-04 Canon Inc 画像処理装置
CN108062780B (zh) * 2017-12-29 2019-08-09 百度在线网络技术（北京）有限公司 图像压缩方法和装置
FR3129802B1 (fr) 2021-11-30 2023-12-15 Orange Procédé d’encodage de partitions d’images, et dispositif associé

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2639739B1 (fr) * 1988-11-25 1991-03-15 Labo Electronique Physique Procede et dispositif de compression de donnees d'image utilisant un reseau de neurones
US5041916A (en) * 1989-02-07 1991-08-20 Matsushita Electric Industrial Co., Ltd. Color image data compression and recovery apparatus based on neural networks

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11507846B2 (en) * 2018-03-26 2022-11-22 Nvidia Corporation Representing a neural network utilizing paths within the network to improve a performance of the neural network

Also Published As

Publication number Publication date
KR920701914A (ko) 1992-08-12
FR2655450B1 (fr) 1994-07-29
EP0456804A1 (de) 1991-11-21
US5369503A (en) 1994-11-29
WO1991008546A1 (fr) 1991-06-13
DE69032127T2 (de) 1998-07-02
DE69032127D1 (de) 1998-04-16
FR2655450A1 (fr) 1991-06-07
ES2116286T3 (es) 1998-07-16
EP0456804B1 (de) 1998-03-11
ATE164017T1 (de) 1998-03-15

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